Results 141 to 150 of about 110,857 (196)

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

Advanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen, Haoyu Wang, Guixin Xu, Yuqin Yuan, Xinmeng Cai, Zhengwu Wei, Dongheng Zhang, Qibin Sun, Tianwei Zhang, Cuntai Guan, Yan Chen   +10 more
wiley   +1 more source

Prediction method for rock shear strength parameters based on data-driven and interpretability analysis. [PDF]

Sci Rep
Jin ZJ, Wang C, Qi S, Liu Y, Yu H, He ZW.   +5 more
europepmc   +1 more source

Cells Dynamically Adapt Their Nuclear Volumes and Proliferation Rates During Single to Multicellular Transitions

Advanced Science, EarlyView.
It is currently not well understood how cells regulate basic properties, e.g., volume and mechanics within dense multicellular environments like tumors. Here, we show that different cell types of cancer and also normal cells largely decrease their nuclear and cellular volumes in emerging cell clusters and that this is partly driven by cell cycle shifts.
Vaibhav Mahajan, Keshav Gajendra Babu, Markus Mukenhirn, Antje Garside, Vinita Ajit Kini, Trishla Adhikari, Timon Beck, Byung Ho Lee, Kyoohyun Kim, Carsten Werner, Raimund Schlüßler, Alf Honigmann, Sebastian Aland, Anna Verena Taubenberger   +13 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

GeoGraphNetworks: A comprehensive benchmark dataset for accurate and scalable graphical representations. [PDF]

Data Brief
Sharma H, Mooney P, Galván E.
europepmc   +1 more source

Programmable RNA N6,2´‐O‐Dimethyladenosine Editing

Advanced Science, EarlyView.
ABSTRACT N6,2’‐O‐dimethyladenosine (m6Am) is a prevalent RNA modification located at the first transcribed nucleotide adjacent to the 5′ cap of mRNAs, where it has been implicated in gene regulation. However, the lack of methods for precise, transcript‐specific manipulation of m6Am has limited its functional dissection.
Yang Li, Xiangmin Tan, Yaran Liu, Yongquan He, Bo Yuan, Ping Wang, Guangzhi Ma, Mengzhe Guo, Jian Zhou, Qiang Sun   +9 more
wiley   +1 more source

ProCaliper: functional and structural analysis, visualization, and annotation of proteins. [PDF]

Bioinform Adv
Rozum JC, Ufford H, Im AK, Zhang T, Pollock DD, Kim DN, Feng S.   +6 more
europepmc   +1 more source

Quantifying Strain and Its Effect on Charge Transport in Ge/Si Core/Shell Nanowires

Advanced Science, EarlyView.
This work demonstrates strain engineering in Ge/Si core–shell nanowires (CS NWs) by tuning the Ge core‐Si shell dimensions. Polarization‐resolved µ‐Raman and geometrical phase analysis quantify the resulting strain. Electronic transport measurements demonstrate record hole mobilities up to 25 400 cm2/Vs, highlighting these Ge/Si CS NWs as a promising ...
Aswathi K. Sivan, Nicolas Forrer, Aakash Shandilya, Yang Liu, Janica Böhler, Alexander Vogel, Arianna Nigro, Pierre Chevalier Kwon, Artemii Efimov, Ilya Golokolenov, Gerard Gadea, Riccardo Rurali, Andreas Baumgartner, Dominik M. Zumbühl, Ilaria Zardo   +14 more
wiley   +1 more source

PepFoundry: A Pipeline for Building Machine-Learning Ready Representations of Nonstandard Peptides Containing Cycles, Non-natural Residues, Polymer Units, and More. [PDF]

J Chem Inf Model
Garzon Otero D, Akbari O, Mandapati A, Bilodeau C.   +3 more
europepmc   +1 more source